Publications

Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models
In today’s digital era, dominated by social media platforms such as Twitter, Facebook, and Instagram, the swift dissemination of …
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
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A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain
This paper presents a Scalable Vertical Federated Learning (SVFL) framework designed to address the task of clas-sification in the …
Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri
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Learning ensembles of deep neural networks for extreme rainfall event detection
Accurate rainfall estimation is crucial to adequately assess the risk associated with extreme events capable of triggering floods and …
Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti
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Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora
Nowadays, news can be rapidly published and shared through several different channels (e.g., Twitter, Facebook, Instagram, etc.) and …
P. Zicari, M. Guarascio, L. Pontieri, G. Folino
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Fighting Misinformation, Radicalization and Bias in Social Media
Social media have become the ideal place for black hats and malicious individuals to target susceptible users through different attack …
Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
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An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity
Nowadays, the speed of the user and application logs is so quick that it is almost impossible to analyse them in real time without …
Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani
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Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs
Predicting the final outcome of an ongoing process instance is a key problem in many real-life contexts. This problem has been …
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
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Combining deep ensemble learning and explanation for intelligent ticket management
Intelligent Ticket Management Systems, equipped with automated ticket classification tools, are an advanced solution for handling …
P. Zicari, G. Folino, M. Guarascio, L. Pontieri
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Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery
Detecting deviant traces in business process logs is a crucial task in modern organizations due to the detrimental effect of certain …
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
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A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour
Large user and application logs are generated and stored by many organisations at a rate that makes it really hard to analyse, …
Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani
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A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources
Providing an accurate rainfall estimate at individual points is a challenging problem in order to mitigate risks derived from severe …
Massimo Guarascio, Gianluigi Folino, Francesco Chiaravalloti, Salvatore Gabriele, Antonio Procopio, Pietro Sabatino
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On learning effective ensembles of deep neural networks for intrusion detection
Classification-oriented Machine Learning methods are a precious tool, in modern Intrusion Detection Systems (IDSs), for discriminating …
F. Folino, G. Folino, M. Guarascio, F.S. Pisani, L. Pontieri
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Discovering accurate deep learning based predictive models for automatic customer support ticket classification
Ticket Management Systems are widespread in disparate kinds of companies and organizations, as they represent a fundamental tool for …
Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
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A p2p environment to validate ensemble-based approaches in the cybersecurity domain
The main data-driven techniques for detecting cybersecurity attacks are based on the analysis of network traffic data and/or of …
Francesco Folino, Gianluigi Folino, Luigi Pontieri
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A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances
Mining deviances from expected behaviors in process logs is a relevant problem in modern organizations, owing to their negative impact …
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
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A GP-based ensemble classification framework for time-changing streams of intrusion detection data
Intrusion detection tools have largely benefitted from the usage of supervised classification methods developed in the field of data …
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri
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A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning
Intrusion detection systems have to cope with many challenging problems, such as unbalanced datasets, fast data streams and frequent …
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri
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Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks
Modern intrusion detection systems must be able to discover new types of attacks in real-time. To this aim, automatic or semi-automatic …
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri
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Learning effective neural nets for outcome prediction from partially labelled log data
The problem of inducing a model for forecasting the outcome of an ongoing process instance from historical log traces has attracted …
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
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Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts
Evolutionary algorithms, i.e., Genetic Programming (GP), have been successfully used for the task of classification, mainly because …
Gianluigi Folino, Massimo Guarascio, Giuseppe Papuzzo
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A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources
Rain gauges are sensors providing direct measurement of precipitation intensity at individual point sites, and, usually, spatial …
Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele
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Special issue on evolutionary multi-objective optimization and applications in big data
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Gianluigi Folino, Giuseppe A. Trunfio
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An ensemble-based P2P framework for the detection of deviant business process instances
The problem of discriminating ‘deviant’ traces (i.e.Traces diverging from normal/desired outcomes, such as frauds, faults) …
Francesco Folino, Gianluigi Folino, Luigi Pontieri
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Parallel Execution of Cellular Automata through Space Partitioning: The Landslide Simulation Sciddicas3-Hex Case Study
The performance and scalability of cellular automata, when executed on parallel/distributed machines, are limited by the necessity of …
Andrea Giordano, Alessio De Rango, Davide Spataro, Donato D'Ambrosio, Carlo Mastroianni, Gianluigi Folino, William Spataro
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A software architecture for classifying users in e-payment systems
In modern payment systems, the user is often the weakest link in the security chain. To identify the key vulnerabilities associated …
Gianluigi Folino, Francesco Sergio Pisani
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A peer-to-peer architecture for detecting attacks from network traffic and log data
Intrusion detection systems (IDS) support the recognition of attacks, based on the analysis of either network traffic data …
Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino
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Scalable asynchronous execution of cellular automata
The performance and scalability of cellular automata, when executed on parallel/distributed machines, are limited by the necessity of …
Gianluigi Folino, Andrea Giordano, Carlo Mastroianni
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Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain
Cyber security classification algorithms usually operate with datasets presenting many missing features and strongly unbalanced …
G. Folino, F.S. Pisani
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Ensemble based collaborative and distributed intrusion detection systems: A survey
Modern network intrusion detection systems must be able to handle large and fast changing data, often also taking into account …
Gianluigi Folino, Pietro Sabatino
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An incremental ensemble evolved by using genetic programming to efficiently detect drifts in cyber security datasets
Unbalanced classes, the ability to detect changes in real-time, the speed of the streams and other peculiar characteristics make most …
Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino
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Adaptive intrusion detection in distributed environments: An ensemble-based approach
This paper describes a distributed framework for supporting adaptive ensemble-based intrusion detection. Open issues and limitations of …
Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino
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A distributed intrusion detection framework based on evolved specialized ensembles of classifiers
Modern intrusion detection systems must handle many complicated issues in real-time, as they have to cope with a real data stream; …
Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino
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Strategies for parallelizing Swarm intelligence algorithms
Swarm intelligence algorithms, based on multiagent systems, are often used to solve complex problems that are not affordable through …
Franco Cicirelli, Gianluigi Folino, Agostino Forestiero, Andrea Giordano, Carlo Mastroianni, Giandomenico Spezzano
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Combining ensemble of classifiers by using genetic programming for cyber security applications
Classification is a relevant task in the cyber security domain, but it must be able to cope with unbalanced and/or incomplete datasets …
Gianluigi Folino, Francesco Sergio Pisani
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A distributed framework for supporting adaptive ensemble-based intrusion detection
This paper proposes anatomy and main functionalities of a distributed framework for supporting adaptive ensemble-based intrusion …
Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino
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Statistical genetic programming: The role of diversity
In this chapter, a new GP-based algorithm is proposed. The algorithm, named SGP (Statistical GP), exploits statistical information, …
Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino
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Modeling the offloading of different types of mobile applications by using evolutionary algorithms
Modern smartphones permit to run a large variety of applications, i.e. multimedia, games, social network applications, etc. However, …
Gianluigi Folino, Francesco S. Pisani
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Efficient discovery of data mining services over DHT-based overlays
Service-oriented architectures are widely adopted to implement distributed data analysis applications that exploit decentralized data …
Gianluigi Folino, Francesco Pisani, Paolo Trunfio
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Automatic offloading of mobile applications into the cloud by means of genetic programming
The limited battery life of modern mobile devices is one of the key problems limiting their use. Even if the offloading of computation …
G. Folino, F.S. Pisani
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Preface: Nature inspired solutions for high performance computing
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Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim
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Differences in sequencing technologies improve the retrieval of anammox bacterial genome from metagenomes
Background: Sequencing technologies have different biases, in single-genome sequencing and metagenomic sequencing; these can …
Fabio Gori, Susannah G. Tringe, Gianluigi Folino, Sacha A.F.T. Van Hijum, Huub J.M. Op Den Camp, Mike S.M. Jetten, Elena Marchiori
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A framework for modeling automatic offloading of mobile applications using genetic programming
The limited battery life of the modern mobile devices is one of the key problems limiting their usage. The offloading of computation on …
Gianluigi Folino, Francesco Sergio Pisani
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Special issue: Bio-inspired optimization techniques for high performance computing
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Gianluigi Folino, Carlo Mastroianni
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On the scalability of multi-criteria protein structure comparison in the grid
Multi-Criteria Protein Structure Comparison (MC-PSC) is one of the Grand Challenge Applications (GCAs) in the field of structural …
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogor
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MTR: Taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks
Motivation: Metagenomics is a recent field of biology that studies microbial communities by analyzing their genomic content directly …
Fabio Gori, Gianluigi Folino, Mike S.M. Jetten, Elena Marchiori
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8th International Conference on Autonomic Computing, ICAC 2011 Co-located Workshops - Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS 2011: Foreword
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Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim, Junichi Suzuki
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Using entropy for evaluating swarm intelligence algorithms
In the last few years, the bio-inspired community has experienced a growing interest in the field of Swarm Intelligence algorithms …
Gianluigi Folino, Agostino Forestiero
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Toward high-throughput, multicriteria protein-structure comparison and analysis
Protein-structure comparison (PSC) is an essential component of biomedical research as it impacts on, e.g., drug design, molecular …
Azhar Ali Shah, Gianluigi Folino, Natalio Krasnogor
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Special section: Bio-inspired algorithms for distributed systems
March 2010 Special Issue of Future Generation Computer Systems journal presents some papers on bio-inspired algorithms for distributed …
Gianluigi Folino, Carlo Mastroianni
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Proceeding of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, BADS '10: Foreword
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Gianluigi Folino, Paraskevi Fragopoulou, Carlo Mastroianni, Junichi Suzuki
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Handling different categories of concept drifts in data streams using distributed GP
Using Genetic Programming (GP) for classifying data streams is problematic as GP is slow compared with traditional single solution …
Gianluigi Folino, Giuseppe Papuzzo
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An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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A grid portal for solving geoscience problems using distributed knowledge discovery services
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by …
Gianluigi Folino, Agostino Forestiero, Giuseppe Papuzzo, Giandomenico Spezzano
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On the storage, management and analysis of (Multi) similarity for large scale protein structure datasets in the grid
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison …
Gianluigi Folino, Azhar Ali Shah, Natalio Kransnogor
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Evidence-based clustering of reads and taxonomic analysis of metagenomic data
The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles …
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, Elena Marchiori
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Distributed anytime clustering using biologically inspired systems
In this paper, we propose a biologically-inspired algorithm for clustering distributed data in a peer-to-peer network with a small …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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Clustering metagenome short reads using weighted proteins
This paper proposes a new knowledge-based method for clusteringmetagenome short reads. The method incorporates biological knowledge in …
Gianluigi Folino, Fabio Gori, Mike S.M. Jetten, Elena Marchiori
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An adaptive flocking algorithm for performing approximate clustering
This paper presents an approach based on an adaptive bio-inspired method to make state of the art clustering algorithms scalable and to …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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Training distributed GP ensemble with a selective algorithm based on clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming (GP) to build an ensemble of predictors is proposed. The method evolves a …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Performance evaluation of protein structure comparison algorithms under integrated resource management environment for MPI jobs
The comparison of protein tertiary structures is a key milestone in many structural bioinformatics activities that rely in comparing …
Azhar A. Shah, Gianluigi Folino, Daniel Barthel, Natalio Kransnogor
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A Grid-based architecture for nearest neighbor based condensation of huge datasets
Grid computing provides services to the users to discover, transfer, and manipulate large datasets distributed in different locations. …
Fabrizio Angiulli, Gianluigi Folino
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StreamGP: Tracking evolving GP ensembles in distributed data streams using fractal dimension
The paper presents an adaptive GP boosting ensemble method forthe classification of distributed homogeneous streaming data that comes …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Mining distributed evolving data streams using fractal GP ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Efficient distributed data condensation for nearest neighbor classification
In this work, PFCNN, a distributed method for computing a consistent subset of very large data sets for the nearest neighbor decision …
Fabrizio Angiulli, Gianluigi Folino
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Distributed nearest neighbor-based condensation of very large data sets
In this work, the Parallel Fast Condensed Nearest Neighbor (PFCNN) rule, a distributed method for computing a consistent subset of a …
Fabrizio Angiulli, Gianluigi Folino
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Content-based mining for solving geoprocessing problems on grids
Geological data management and mining are critical areas of modern-day geology research. High throughput and high information content …
Gianluigi Folino, Agostino Forestiero, Giuseppe Papuzzo, Giandomenico Spezzano
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An autonomic tool for building self-organizing Grid-enabled applications
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of …
Gianluigi Folino, Giandomenico Spezzano
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An adaptive distributed ensemble approach to mine concept-drifting data streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Swarm-based distributed clustering in peer-to-peer systems
Clustering can be defined as the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups, called …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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P-CAGE: An environment for evolutionary computation in peer-to-peer systems
Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of …
Gianluigi Folino, Giandomenico Spezzano
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Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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GP ensembles for large-scale data classification
An extension of cellular genetic programming for data classification (CGPC) to induce an ensemble of predictors is presented. Two …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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A multidimensional flocking algorithm for clustering spatial data
In this paper, we describe the efficient implementation of M-Sparrow, an adaptive flocking algorithm based on the biology-inspired …
Antonio Augimeri, Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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A model based on cellular automata for the parallel simulation of 3D unsaturated flow
Cellular automata (CA) are discrete dynamic systems that are used for modeling many physical systems. They are often used as an …
Gianluigi Folino, Giuseppe Mendicino, Alfonso Senatore, Giandomenico Spezzano, Salvatore Straface
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A jxta based asynchronous peer-to-peer implementation of genetic programming
Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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A general architecture for grid-based PSE toolkits
A PSE Toolkit can be defined as a group of technologies within a software architecture that can build multiple PSEs. We designed a …
Mario Cannataro, Carmela Comito, Antonio Congiusta, Gianluigi Folino, Carlo Mastroianni, Andrea Pugliese, Giandomenico Spezzano, Domenico Talia, Pierangelo Veltri
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MOSÈ: A grid-enabled software platform to solve geoprocessing problems
Grid computing has emerged as an important new field in the distributed computing arena. It focus on intensive resource sharing, …
G. Folino, A. Forestiero, G. Papuzzo, G. Spezzano
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GP ensemble for distributed Intrusion detection systems
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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CAMELotGrid: A Grid-based PSE for autonomic cellular applications
This paper presents CAMELotGrid, a Grid-based cellular automata problem solving environment (PSE) for the modelling and simulation of …
Gianluigi Folino, Giandomenico Spezzano
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An autonomic middleware for grid-enabled self-organizing applications
In this paper we present CAMELotGRID, a middleware ’ architecture to manage grid computations of Cellular Automata that support …
Gianluigi Folino, Giandomenico Spezzano
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Boosting technique for combining cellular GP classifiers
An extension of Cellular Genetic Programming for data classification with the boosting technique is presented and a comparison with the …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Swarming agents for discovering clusters in spatial data
The purpose of this work is to investigate the use of new swarm intelligence based techniques for data mining. According to this …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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Sparrow: A Spatial Clustering Algorithm using Swarm Intelligence
Swarm intelligence is a property of systems of unintelligent agents exhibiting collectively intelligent behaviour. Ants colonies, …
Gianluigi Folino, Giandomenico Spezzano
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Ensemble techniques for parallel genetic programming based classifiers
An extension of Cellular Genetic Programming for data classification to induce an ensemble of predictors is presented. Each classifier …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Diversity analysis in cellular and multipopulation genetic programming
This paper presents a study that evaluates the influence of the parallel genetic programming (GP) models in maintaining diversity in a …
G. Folino, C. Pizzuti, G. Spezzano, L. Vanneschi, M. Tomassini
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Discovering clusters in spatial data using swarm intelligence
This paper presents a novel algorithm that uses techniques adapted from models originating from biological collective organisms to …
Gianluigi Folino, Agostino Forestiero, Giandomenico Spezzano
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A scalable cellular implementation of parallel genetic programming
A new parallel Implementation of genetic programming (GP) based on the cellular model is presented and compared with both canonical GP …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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An adaptive flocking algorithm for spatial clustering
This paper presents a parallel spatial clustering algorithm based on the use of new Swarm Intelligence (SI) techniques. SI is an …
Gianluigi Folino, Giandomenico Spezzano
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Predictability of cellular programs implemented with CAMELot
In this paper we present a performance model to analyse the scalability and predict the performance of cellular programs developed by …
G. Folino, G. Spezzano
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Parallel hybrid method for SAT that couples genetic algorithms and local search
A parallel hybrid method for solving the satisfiability (SAT) problem that combines cellular genetic algorithms (GAs) and the random …
G. Folino, C. Pizzuti, G. Spezzano
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Parallel genetic programming for decision tree induction
A parallel genetic programming approach to induce decision trees in large data sets is presented. A population of trees is evolved by …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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CAGE: A tool for parallel genetic programming applications
A new parallel implementation of genetic programming based on the cellular model is presented and compared with the island model …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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Genetic programming and simulated annealing: A hybrid method to evolve decision trees
A method for the data mining task of data classification, suitable to be implemented on massively parallel architectures, is proposed. …
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
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CELLAR: A high level cellular programming language with regions
This paper describes CELLAR, a language for cellular programming which extends the cellular automata model through the concept of …
G. Folino, G. Spezzano
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Solving the satisfiability problem by a parallel cellular genetic algorithm
The paper presents an evolutionary method for solving the satisfiability problem. It is based on a parallel cellular genetic algorithm …
G. Folino, C. Pizzuti, G. Spezzano
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Performance evaluation and modeling of MPI communications on the Meiko CS-2
This paper presents, evaluates and compares the performance of the point-to-point and broadcast communication primitives of the MPI-1 …
Gianluigi Folino, Giandomenico Spezzano, Domenico Talia
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Evaluating and modeling communication overhead of MPI primitives on the Meiko CS-2
The MPI (Message Passing Interface) is a standard communication library implemented on a large number of parallel computers. It is used …
Gianluigi Folino, Giandomenico Spezzano, Domenico Talia
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Combining cellular genetic algorithms and local search for solving satisfiability problems
A new parallel hybrid method for solving the satisfiability problem that combines cellular genetic algorithms and the random walk …
Gianluigi Folino, Clani Pizzuti, Giandomemco Spezzano
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